# Senior Software Engineer, NCCL

**Company**: NVIDIA
**Location**: Santa Clara
**Work arrangement**: onsite
**Experience**: senior
**Job type**: full-time
**Category**: Engineering
**Industry**: Technology

**Apply**: https://nvidia.wd5.myworkdayjobs.com/en-US/NVIDIAExternalCareerSite/job/US-CA-Santa-Clara/Senior-Software-Engineer--GPU-Communications-and-Networking_JR1997186
**Canonical**: https://yubhub.co/jobs/job_cf4fd05b-818

## Description

We are looking for a highly motivated senior software engineer to join our communication libraries and network software team. The position will be part of a fast-paced crew that develops and maintains software for complex heterogeneous computing systems that power disruptive products in High Performance Computing and Deep Learning.

**Responsibilities:**

- Design, implement and maintain highly-optimized communication runtimes for Deep Learning frameworks (e.g. NCCL for TensorFlow/Pytorch) and HPC programming interfaces (e.g. UCX for MPI/OpenSHMEM) on GPU clusters.

- Participate in and contribute to parallel programming interface specifications like MPI/OpenSHMEM.

- Design, implement and maintain system software that enables interactions among GPUs and interactions between GPUs and other system components.

- Create proof-of-concepts to evaluate and motivate extensions in programming models, new designs in runtimes and new features in hardware.

**Requirements:**

- M.S./Ph.D. degree in CS/CE or equivalent experience.

- 5+ years of relevant experience.

- Excellent C/C++ programming and debugging skills.

- Strong experience with Linux.

- Expert understanding of computer system architecture and operating systems.

- Experience with parallel programming interfaces and communication runtimes.

- Ability and flexibility to work and communicate effectively in a multi-national, multi-time-zone corporate environment.

**Nice to Have:**

- Deep understanding of technology and passionate about what you do.

- Experience with CUDA programming and NVIDIA GPUs.

- Knowledge of high-performance networks like InfiniBand, iWARP etc.

- Experience with HPC applications.

- Experience with Deep Learning Frameworks such PyTorch, TensorFlow, etc.

- Strong collaborative and interpersonal skills, specifically a proven ability to effectively guide and influence within a dynamic matrix environment.

**Benefits:**

- Highly competitive salaries.

- Comprehensive benefits package.

- Eligibility for equity.

- Opportunity to work with a world-class engineering team.

- Ability to work in a dynamic matrix environment.

- Opportunity to contribute to cutting-edge technology.

- Flexible work arrangements.

- Professional development opportunities.

**How to Apply:**

Applications for this job will be accepted at least until March 13, 2026. NVIDIA uses AI tools in its recruiting processes.

## Skills

### Required
- C/C++
- Linux
- Computer system architecture
- Operating systems
- Parallel programming interfaces
- Communication runtimes

### Nice to have
- CUDA programming
- NVIDIA GPUs
- High-performance networks
- HPC applications
- Deep Learning Frameworks